Applied Econometrics: Foundations of Regression Analysis

Do you need to interpret economic data and statistical findings with confidence? Econometrics provides the essential tools for translating complex economic theories into testable models. This course provides a clear, practical introduction to econometric methods, starting with fundamental concepts and building up to essential techniques used in policy analysis and forecasting. You will gain the skills necessary to select appropriate models, interpret regression output accurately, and understand the limitations of statistical analysis. What you'll learn: * Understand the core principles of ordinary least squares (OLS) regression and its underlying assumptions. * Apply regression techniques to analyze cross-sectional, time-series, and structured panel data. * Practice diagnosing common issues in regression, such as heteroskedasticity, and implementing robust standard errors. * Master advanced modeling concepts including instrumental variables and limited dependent variable models. * Learn foundational methods for program evaluation, including difference-in-differences analysis for causal inference. * Configure and interpret models involving simultaneous equations and measurement error. The material begins with statistical foundations and progresses through single and multiple regression models. Subsequent sections cover advanced techniques necessary for modern empirical work, focusing heavily on interpretation and application. This course is designed for beginners in economics, finance, and data analysis. No prior advanced statistics or econometrics knowledge is required to start. Begin your journey into quantitative economic analysis today.